https://github.com/abhilashg001/meanmelon
Sentiment analysis using LSTM
https://github.com/abhilashg001/meanmelon
deep-learning glove-embeddings lstm natural-language-processing sentiment-analysis
Last synced: 3 days ago
JSON representation
Sentiment analysis using LSTM
- Host: GitHub
- URL: https://github.com/abhilashg001/meanmelon
- Owner: AbhilashG001
- Created: 2020-03-07T04:36:12.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-03-08T14:07:25.000Z (about 5 years ago)
- Last Synced: 2025-04-07T21:02:04.204Z (about 1 month ago)
- Topics: deep-learning, glove-embeddings, lstm, natural-language-processing, sentiment-analysis
- Language: Jupyter Notebook
- Size: 1.32 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# MeanMelon
## Introduction
According to Wikipedia -
> Sentiment analysis (also known as opinion mining or emotion AI) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.
## Task
Predict the sentiment of English corpus using LSTM.
### LSTM
Long short-term memory (LSTM) is an artificial recurrent neural network (RNN) architecture.
The paper on LSTM can be found [here](https://www.bioinf.jku.at/publications/older/2604.pdf).
:warning: The pre-trained GloVe word vectors can be found [here](https://nlp.stanford.edu/projects/glove/)